Design improvement of electro-optical imaging system using image quality criteria

We propose a new method to improve the design of electro- optical imaging system using an end-to-end model of the imaging system and a combination of image quality criteria. Firstly, we used an imaging system simulator to produce an output image, which is the distorted version of the input scene. Secondly, we calculate an objective quotation for the quality of the imaging system for each parameter set, and compare the results with the human evaluation of image quality. It allows us to calibrate our imaging system quality measure (ISQM). Finally, the ISQM is used as a tool to improve system design without any human observer evaluation.